867 Machine Learning jobs in Mumbai

Position: Lead MLOps Engineer

Experience: 9+ Years

Location: Mumbai, Mahape

Email ID for CV sharing:

About the Role

We are looking for a Lead MLOps Engineer who will lead and support the end-to-end deployment, monitoring, and optimization of machine learning and data-driven applications across cloud platforms. You will collaborate with data scientists, engineers, and business stakeholders to ensure scalable, secure, and highly available ML systems.

Key Responsibilities:

• Be a hands-on contributor capable of independently designing and developing complete MLOps solutions from scratch.
• Lead end-to-end ML pipeline development, deployment, and monitoring across GCP and Azure.
• Build and maintain CI/CD pipelines using tools like ArgoCD, Git, and Docker.
• Automate and optimize ML model training, validation, deployment, and scaling using Kubernetes, Kubeflow, or similar orchestration platforms.
• Develop data processing workflows using Python and PySpark on distributed systems.
• Implement observability using tools like Grafana, NewRelic, and cloud-native monitoring solutions.
• Collaborate with Data Scientists to transition research into production-grade solutions.
• Guide and mentor junior engineers, enforce coding standards, and conduct code reviews.
• Demonstrate business understanding to align ML pipelines with product goals.
• Manage infrastructure as code (IaC) for reproducibility and scalability.
• Exposure to AI and RAG-related development, various GPU and AI Platforms required.

Required Skills & Experience:

• 9+ years of hands-on experience in MLOps roles.
• Strong proficiency in Python and PySpark with clean and scalable code practices.
• Expertise in GCP and Azure cloud platforms – including compute, storage, and networking components.
• Proven experience in deploying and managing containerized applications using Docker and Kubernetes.
• Hands-on with CI/CD tools – preferably ArgoCD, GitHub Actions, or GitLab CI.
• Experience in monitoring, logging, and alerting using tools such as Grafana, NewRelic, Prometheus, or similar.
• Understanding of ML model lifecycle, versioning, and performance monitoring.
• Experience with MLFlow for model versioning.
• Ability to create REST APIs using FastAPI, Flask, or Django.
• Strong problem-solving, communication, and stakeholder management skills.
• Experience mentoring teams and driving end-to-end project execution.
• Exposure to Vertex AI Pipeline in GCP or similar in other clouds is a plus.

We're Hiring: Machine Learning Engineer (Internship, Remote)We are looking for a committed and enthusiastic Machine Learning Engineer to join our fast-growing team. This is a full-time opportunity (40 hours/week) for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.Key Responsibilities:Design and implement solutions using Large Language Models (LLMs)Develop and fine-tune prompt engineering strategies for performance optimizationWork on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systemsApply a wide range of ML techniques including classification, clustering, embeddings, and optimizationCollaborate closely with backend and AI engineering teams to integrate ML solutions into production systemsContribute to experimentation, model evaluation, and continuous improvement cyclesWhat We're Looking For:Strong hands-on experience with LLMs (Open AI, Hugging Face, etc.)Proficiency in prompt engineering, few-shot learning, and RAG frameworksSolid understanding of machine learning fundamentals and applied techniquesFamiliarity with tools like Lang Chain, Pinecone, Weaviate, or similarAbility to work independently and manage time effectively in a remote settingEagerness to learn, adapt, and contribute proactively in a fast-paced environmentWhat Matters to Us:We value commitment and curiosity over formal degreesWe appreciate individuals who take ownership and bring a solutions-first mindsetWe are building a culture of speed, experimentation, and continuous learningPosition Details:Type: Full-Time Intern (45-50 hours/week)Location: Remote (Gurugram residents preferred)PPO: After 3 months of completion a full time offer will be rolled out depending on the performanceCompensation: Competitive, based on experience and capabilityStart Date: ImmediateIf you're excited to work on cutting-edge AI systems and grow with a team that's moving fast, we’d love to hear from you.Please send your resume, portfolio (if available), and a short note on why you're interested to or

We seek a Machine Learning Engineer colleague to join our world-class client, one of thebiggest and most advanced IT company.• Remote work• Employment/Contract Type: Contract• Location: India• Duration: 1 year (with potential to be extended)• Hours per Week: 40 (Full-time)Description:We are seeking an experienced Machine Learning Engineer to join our growing team ofconsultants. In this role, you will be responsible for designing, developing, and deploying machinelearning models and algorithms to solve complex business challenges with Databricks. You will workclosely with data scientists, data engineers, and business stakeholders to build scalable and efficientmachine learning solutions.Key Responsibilities● Design and implement machine learning models and algorithms with Databricks, includingpredictive analytics, natural language processing, computer vision, and more.● Lead the end-to-end development process, from data collection and preprocessing to modeldeployment and monitoring.● Collaborate with cross-functional teams to understand business requirements and translatethem into technical solutions.● Optimize and fine-tune models for performance, accuracy, and scalability in a productionenvironment.● Stay up-to-date with the latest advancements in machine learning and AI, and apply them toimprove existing systems.● Contribute to the development of machine learning infrastructure, including data pipelines,model serving frameworks, and monitoring tools.● Collaborate with client stakeholders to drive solutions to solve business problems.Qualifications● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a relatedfield; Ph D is a plus.● 3+ years of experience in machine learning engineering or related fields.● 2+ years of experience with Databricks● Proficiency in programming languages such as Python, R, or Java, with a strong understandingof machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, scikit-learn).● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment andmonitoring.● Strong problem-solving skills and ability to work in a fast-paced environment.● Excellent communication and collaboration skills, with a track record of working effectively incross-functional teamsAbout DexianDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Branch OverviewBranch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100 M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.Benefits of JoiningMission-driven, fast-paced, and entrepreneurial environmentCompetitive salary and equity packageA collaborative and flat company cultureFully-paid Group Medical Insurance and Personal Accidental InsuranceUnlimited paid time off, including personal leave, bereavement leave, and sick leaveFully paid parental leave — 6 months maternity leave and 3 months paternity leaveMonthly WFH stipend alongside a one-time home office set-up budget$500 Annual professional development budgetTeam meals and social events — Virtual and In-personWe’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

Job SummaryWe are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years.This role involves architecting AI/ML/Gen AI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams.Key ResponsibilitiesTechnical Leadership & ArchitectureDesign and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like Sage Maker, Bedrock, Lambda, API Gateway, Dynamo DB, ECS, S3, Open Search, and Step Functions.Lead full lifecycle development of AI/ML/Gen AI solutions—from Po C to production—ensuring reliability and performance.Define and implement best practices for MLOps, Data Ops, and Dev Ops on AWS.AI/ML & Generative AI ExpertiseDesign Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.Drive ML model training, deployment, and monitoring using AWS Sage Maker and AI/ML pipelines.Cloud & Infrastructure ManagementArchitect event-driven, serverless, and microservices architectures for AI/ML applications.Ensure high availability, disaster recovery, and cost optimization in cloud deployments.Implement IAM, VPC, security best practices, and compliance.Team & Client EngagementLead and mentor a team of ML engineers, Python Developer and Cloud Engineers.Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/Gen AI-driven solutions.Conduct technical workshops, training sessions, and knowledge-sharing initiatives.Multi-Client & Business StrategyManage multiple client engagements, delivering AI/ML/Gen AI solutions tailored to their business needs.Define AI/ML/Gen AI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.Key Skills & TechnologiesCloud & Dev OpsAWS Services: Bedrock, Sage Maker, Lambda, API Gateway, Dynamo DB, S3, ECS, Fargate, Open Search, RDSMLOps: Sage Maker Pipelines, CI/CD (Code Pipeline, Git Hub Actions, Terraform, CDK)Security: IAM, VPC, Cloud Trail, Guard Duty, KMS, CognitoAI/ML & Gen AILLMs & Generative AI: Bedrock (Claude, Mistral, Titan), Open AI, LlamaML Frameworks: Tensor Flow, Py Torch, Lang Chain, Hugging FaceVector DBs: Open Search, Pinecone, FAISSRAG Pipelines, Prompt Engineering, Fine-tuningSoftware Architecture & ScalabilityServerless & Microservices ArchitectureAPI Design & Graph QLEvent-Driven Systems (SNS, SQS, Event Bridge, Step Functions)Performance Optimization & Auto Scali

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.We are looking for a highly motivated research consultant who can assist in our research and development efforts on large-scale user engagement predictive models. The ideal candidate should have prior experience in Deep Learning, Natural Language Processing. Key Responsibility:• Developing models to analyze user behavior patterns on OTT platforms and predicting their likelihood of leaving, along with plausible reasons behind their behavior. • Building causal inference–based intervention models aimed at retaining users on the platform. • Contributing to developing and evaluating models (including user engagement foundation model) leveraging pre-trained LLMs. • Work closely with other research scientists, engineers, and product teams fostering a collaborative and intellectually stimulating environment. • Contribute to millions of OTT platform users towards improving their experience by leveraging AI capabilities. • Contribute to the research community by sharing insights and participating in external academic workshops and conferences. Work Location:Remote within India,Duration of the paid contractual role:The annual paid direct contractual tenure is extendable. Ideally this position will start from second week September 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) full-time. Essential Education:Pursuing or completed masters or bachelor’s in computer science or similar background. Must Have Skills & Abilities:A strong background in applied deep learning and machine learning, both in terms of conceptual understanding, as well as practical experience. A good understanding on handling large scale datasets with SQL. Understanding about current start of the art machine learning literature. Prior experience in developing large scale prediction and reasoning models. Strong knowledge and interest in LLMs (fine-tuning, training and using LLMs). Proficiency in hands-on with Python and one or more popular deep learning framework. Ability to envision new ideas and proving them through theory and/or experiments. Knowledge of working on any cloud platform, preferably AWS, is desirable. Good to Have Skills:0-1 year of work experience in building and deploying large-scale predictive models in production. 0-1 year of work experience in LLM/NLP projects within a start-up environment. Good publication record, with publications in major machine learning conferences (e.g. Neur IPS, ICML, KDD, AAAI, SIGIR, Rec Sys, WSDM, ICDM, ECML, etc.).Our Values:Dreams & Curiosity: Pioneer the future with dreams and curiosity.Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

About the Role:We are looking for an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.Key Responsibilities:Design, develop, and deploy ML models (regression, classification, clustering, deep learning).Build and optimize data pipelines, feature engineering, and training workflows.Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).Monitor model performance, retrain, and maintain production-ready systems.Develop APIs and integrate ML solutions with enterprise applications.Stay updated on ML/AI trends and contribute innovative solutions.Collaborate with data scientists, engineers, and product managers to align with business goals.Qualifications:3+ years of experience in ML engineering or related field.Strong proficiency in Python; knowledge of Java/Scala/R is a plus.Expertise with ML libraries/frameworks: scikit-learn, Tensor Flow, Py Torch, Keras.Hands-on with data tools: Pandas, Num Py, Spark.Experience with ML deployment (Sage Maker, Azure ML, GCP AI, Tensor Flow Serving, Torch Serve).Familiarity with databases (SQL, Mongo DB, Cassandra) and version control (Git).Understanding of Dev Ops/MLOps practices.Excellent problem-solving, communication, and collaboration skills.